Table 5.

Cross-validated evaluation results (0.9 quantile of the classification accuracy) for each feature extraction method and optimization strategy on the second session

	Individual							Global
	UAR	xUAR	VAR	xVAR	BAR	xBAR	LogBP	UAR	xUAR	VAR	xVAR	BAR	xBAR	LogBP
A01	0.621	0.664	0.611	0.629	0.318	0.657	0.650	0.639	0.664	0.611	0.646	0.618	0.664	0.614
A02	0.382	0.420	0.427	0.444	0.299	0.392	0.375	0.406	0.410	0.417	0.392	0.385	0.406	0.377
A03	0.502	0.603	0.610	0.658	0.518	0.603	0.680	0.496	0.599	0.627	0.647	0.518	0.610	0.603
A04	0.425	0.463	0.408	0.421	0.379	0.454	0.458	0.430	0.451	0.391	0.405	0.421	0.434	0.524
A05	0.411	0.377	0.406	0.400	0.364	0.363	0.293	0.375	0.367	0.404	0.407	0.393	0.389	0.329
A06	0.332	0.355	0.309	0.356	0.326	0.333	0.424	0.343	0.350	0.358	0.378	0.356	0.343	0.424
A07	0.489	0.504	0.482	0.518	0.496	0.411	0.418	0.486	0.507	0.532	0.543	0.493	0.500	0.489
A08	0.620	0.612	0.642	0.645	0.599	0.609	0.647	0.600	0.598	0.645	0.632	0.602	0.602	0.643
A09	0.599	0.613	0.619	0.646	0.608	0.615	0.615	0.581	0.577	0.672	0.683	0.581	0.570	0.624
Mean	0.487	0.512	0.502	0.524	0.434	0.493	0.507	0.484	0.503	0.517	0.526	0.485	0.502	0.514
SD	0.11	0.11	0.12	0.12	0.12	0.13	0.14	0.10	0.11	0.13	0.13	0.10	0.11	0.12

The last two rows show the mean and standard deviation (SD)